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DeepSeek V4 Pro vs MiMo-V2.5-Pro (medium)

Skor rata-rata hampir imbang di 6.8 vs 6.8. DeepSeek V4 Pro memiliki biaya benchmark lebih rendah di $0.206 vs $0.221. DeepSeek V4 Pro lebih cepat di 11.71s vs 48.68s, dengan tingkat keberhasilan 47.0% vs 63.6%.

Benchmark dihasilkan dari suite pengujian AI BENCHY pada: 2026-09-24

Model yang Dibandingkan

Peringkat
#180
Total token output
35,547
Waktu respons (rata-rata)
11.71s
Total Biaya
$0.206
Peringkat
#182
Total token output
185,466
Waktu respons (rata-rata)
48.68s
Total Biaya
$0.221
Model yang direkomendasikan DeepSeek V4 Pro

It has the best score here (6.8), while responding about 4.2x faster than MiMo-V2.5-Pro (medium).

Perbandingan terperinci

Metrik DeepSeek V4 Pro DeepSeek V4 Pro none Rilis: 2026-04-24 MiMo-V2.5-Pro MiMo-V2.5-Pro medium Rilis: 2026-04-22
Skor 6.8 6.8
Peringkat #180 #182
Keandalan 10.0 10.0
Konsistensi 8.6 7.9
Percobaan 66/66 66/66
Tes benar
Tingkat lulus per percobaan 47.0% 63.6%
Tes tidak stabil 4 6
Total Run 66 66
Biaya per hasil 1.061 3.790
Total Biaya $0.206 $0.221
Harga input $0.940 / 1M $0.435 / 1M
Harga output $1.880 / 1M $0.870 / 1M
Total token input 148,078 139,892
Token output 35,547 15,569
Token penalaran 0 169,897
Waktu respons (rata-rata) 11.71s 48.68s
Waktu respons (maks) 119.44s 333.34s
Waktu respons (total) 257.67s 1071.02s
Parameter 1.6T total (49B aktif) 1.02T total (42B aktif)
Ketersediaan Sumber terbuka Sumber terbuka

Showcase generasi model

Hamster playing table tennis

Prompt: Create a detailed SVG illustration of a hamster playing table tennis.

#180 DeepSeek V4 Pro

none
Reached the allocated time limit (300 seconds) without receiving showcase output.
Biaya
$0.000
Waktu
300.0s
Token
0 tok

#182 MiMo-V2.5-Pro

medium
Reached the allocated time limit (300 seconds) without receiving showcase output.
Biaya
$0.000
Waktu
300.0s
Token
0 tok

Model teratas berdasarkan skor

Skor vs Total Biaya

Waktu respons (rata-rata)

Skor vs Waktu respons (rata-rata)

Total token output

Skor vs Total token output

Rincian Kategori

Pemrograman Skor Konsistensi Tingkat lulus per percobaan Tes tidak stabil Tes benar Waktu respons (rata-rata) Token input Token output Token penalaran
DeepSeek V4 Pro 5.6 10.0 33.3% 0 13.38s 7,275 5,500 0
MiMo-V2.5-Pro 6.2 4.7 66.7% 2 92.07s 6,543 780 51,218

Perbandingan Cepat

Ganti Pasangan Perbandingan